Evidence map›Paper›PMID 20066111›Full record

ReviewCold Spring Harbor perspectives in biology2009

Discovering the molecular components of intercellular junctions--a historical view.

Werner W Franke

Abstract readHistorical ArticleReview
In one paragraph

Review in Cold Spring Harbor perspectives in biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

93 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
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  7. Review
  8. Engagement of αFrontiers in microbiology · 2024
    Article
  9. Article
  10. Article
  11. Buttons and Zippers: Endothelial Junctions in Lymphatic Vessels.Cold Spring Harbor perspectives in medicine · 2022
    Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review

33 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Werner W FrankeHelmholtz Group for Cell Biology, German Cancer Research Center, Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany. w.franke@dkfz.de

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The organization of metazoa is based on the formation of tissues and on tissue-typical functions and these in turn are based on cell-cell connecting structures. In vertebrates, four major forms of cell junctions have been classified and the molecular composition of which has been elucidated in the past three decades: Desmosomes, which connect epithelial and some other cell types, and the almost ubiquitous adherens junctions are based on closely cis-packed glycoproteins, cadherins, which are associated head-to-head with those of the hemi-junction domain of an adjacent cell, whereas their cytoplasmic regions assemble sizable plaques of special proteins anchoring cytoskeletal filaments. In contrast, the tight junctions (TJs) and gap junctions (GJs) are formed by tetraspan proteins (claudins and occludins, or connexins) arranged head-to-head as TJ seal bands or as paracrystalline connexin channels, allowing intercellular exchange of small molecules. The by and large parallel discoveries of the junction protein families are reported.

Indexed as

Cell CommunicationAdherens JunctionsAnimalsBiologyCadherinsClaudinsConnexinsDesmosomesGap JunctionsHistory, 20th CenturyHistory, 21st CenturyHumansMembrane ProteinsModels, BiologicalOccludinTight JunctionsCadherinsClaudinsConnexinsMembrane ProteinsOccludinOCLN protein, human

Identifiers

PMID20066111
PMCPMC2773636

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.